CfnScalableTarget
- class aws_cdk.aws_applicationautoscaling.CfnScalableTarget(scope, id, *, max_capacity, min_capacity, resource_id, scalable_dimension, service_namespace, role_arn=None, scheduled_actions=None, suspended_state=None)
Bases:
CfnResource
The
AWS::ApplicationAutoScaling::ScalableTarget
resource specifies a resource that Application Auto Scaling can scale, such as an AWS::DynamoDB::Table or AWS::ECS::Service resource.For more information, see Getting started in the Application Auto Scaling User Guide . .. epigraph:
If the resource that you want Application Auto Scaling to scale is not yet created in your account, add a dependency on the resource when registering it as a scalable target using the `DependsOn <https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-attribute-dependson.html>`_ attribute.
- See:
- CloudformationResource:
AWS::ApplicationAutoScaling::ScalableTarget
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_applicationautoscaling as appscaling cfn_scalable_target = appscaling.CfnScalableTarget(self, "MyCfnScalableTarget", max_capacity=123, min_capacity=123, resource_id="resourceId", scalable_dimension="scalableDimension", service_namespace="serviceNamespace", # the properties below are optional role_arn="roleArn", scheduled_actions=[appscaling.CfnScalableTarget.ScheduledActionProperty( schedule="schedule", scheduled_action_name="scheduledActionName", # the properties below are optional end_time=Date(), scalable_target_action=appscaling.CfnScalableTarget.ScalableTargetActionProperty( max_capacity=123, min_capacity=123 ), start_time=Date(), timezone="timezone" )], suspended_state=appscaling.CfnScalableTarget.SuspendedStateProperty( dynamic_scaling_in_suspended=False, dynamic_scaling_out_suspended=False, scheduled_scaling_suspended=False ) )
- Parameters:
scope (
Construct
) – Scope in which this resource is defined.id (
str
) – Construct identifier for this resource (unique in its scope).max_capacity (
Union
[int
,float
]) – The maximum value that you plan to scale out to. When a scaling policy is in effect, Application Auto Scaling can scale out (expand) as needed to the maximum capacity limit in response to changing demand.min_capacity (
Union
[int
,float
]) – The minimum value that you plan to scale in to. When a scaling policy is in effect, Application Auto Scaling can scale in (contract) as needed to the minimum capacity limit in response to changing demand.resource_id (
str
) – The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier. - ECS service - The resource type isservice
and the unique identifier is the cluster name and service name. Example:service/my-cluster/my-service
. - Spot Fleet - The resource type isspot-fleet-request
and the unique identifier is the Spot Fleet request ID. Example:spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE
. - EMR cluster - The resource type isinstancegroup
and the unique identifier is the cluster ID and instance group ID. Example:instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
. - AppStream 2.0 fleet - The resource type isfleet
and the unique identifier is the fleet name. Example:fleet/sample-fleet
. - DynamoDB table - The resource type istable
and the unique identifier is the table name. Example:table/my-table
. - DynamoDB global secondary index - The resource type isindex
and the unique identifier is the index name. Example:table/my-table/index/my-table-index
. - Aurora DB cluster - The resource type iscluster
and the unique identifier is the cluster name. Example:cluster:my-db-cluster
. - SageMaker endpoint variant - The resource type isvariant
and the unique identifier is the resource ID. Example:endpoint/my-end-point/variant/KMeansClustering
. - Custom resources are not supported with a resource type. This parameter must specify theOutputValue
from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository . - Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example:arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE
. - Amazon Comprehend entity recognizer endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example:arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE
. - Lambda provisioned concurrency - The resource type isfunction
and the unique identifier is the function name with a function version or alias name suffix that is not$LATEST
. Example:function:my-function:prod
orfunction:my-function:1
. - Amazon Keyspaces table - The resource type istable
and the unique identifier is the table name. Example:keyspace/mykeyspace/table/mytable
. - Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. Example:arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5
. - Amazon ElastiCache replication group - The resource type isreplication-group
and the unique identifier is the replication group name. Example:replication-group/mycluster
. - Neptune cluster - The resource type iscluster
and the unique identifier is the cluster name. Example:cluster:mycluster
. - SageMaker serverless endpoint - The resource type isvariant
and the unique identifier is the resource ID. Example:endpoint/my-end-point/variant/KMeansClustering
. - SageMaker inference component - The resource type isinference-component
and the unique identifier is the resource ID. Example:inference-component/my-inference-component
. - Pool of WorkSpaces - The resource type isworkspacespool
and the unique identifier is the pool ID. Example:workspacespool/wspool-123456
.scalable_dimension (
str
) – The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property. -ecs:service:DesiredCount
- The task count of an ECS service. -elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group. -ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet. -appstream:fleet:DesiredCapacity
- The capacity of an AppStream 2.0 fleet. -dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table. -dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table. -dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index. -dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index. -rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. -sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for a SageMaker model endpoint variant. -custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service. -comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint. -comprehend:entity-recognizer-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend entity recognizer endpoint. -lambda:function:ProvisionedConcurrency
- The provisioned concurrency for a Lambda function. -cassandra:table:ReadCapacityUnits
- The provisioned read capacity for an Amazon Keyspaces table. -cassandra:table:WriteCapacityUnits
- The provisioned write capacity for an Amazon Keyspaces table. -kafka:broker-storage:VolumeSize
- The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster. -elasticache:replication-group:NodeGroups
- The number of node groups for an Amazon ElastiCache replication group. -elasticache:replication-group:Replicas
- The number of replicas per node group for an Amazon ElastiCache replication group. -neptune:cluster:ReadReplicaCount
- The count of read replicas in an Amazon Neptune DB cluster. -sagemaker:variant:DesiredProvisionedConcurrency
- The provisioned concurrency for a SageMaker serverless endpoint. -sagemaker:inference-component:DesiredCopyCount
- The number of copies across an endpoint for a SageMaker inference component. -workspaces:workspacespool:DesiredUserSessions
- The number of user sessions for the WorkSpaces in the pool.service_namespace (
str
) – The namespace of the AWS service that provides the resource, or acustom-resource
.role_arn (
Optional
[str
]) – Specify the Amazon Resource Name (ARN) of an Identity and Access Management (IAM) role that allows Application Auto Scaling to modify the scalable target on your behalf. This can be either an IAM service role that Application Auto Scaling can assume to make calls to other AWS resources on your behalf, or a service-linked role for the specified service. For more information, see How Application Auto Scaling works with IAM in the Application Auto Scaling User Guide . To automatically create a service-linked role (recommended), specify the full ARN of the service-linked role in your stack template. To find the exact ARN of the service-linked role for your AWS or custom resource, see the Service-linked roles topic in the Application Auto Scaling User Guide . Look for the ARN in the table at the bottom of the page.scheduled_actions (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,ScheduledActionProperty
,Dict
[str
,Any
]]],None
]) – The scheduled actions for the scalable target. Duplicates aren’t allowed.suspended_state (
Union
[IResolvable
,SuspendedStateProperty
,Dict
[str
,Any
],None
]) – An embedded object that contains attributes and attribute values that are used to suspend and resume automatic scaling. Setting the value of an attribute totrue
suspends the specified scaling activities. Setting it tofalse
(default) resumes the specified scaling activities. Suspension Outcomes - ForDynamicScalingInSuspended
, while a suspension is in effect, all scale-in activities that are triggered by a scaling policy are suspended. - ForDynamicScalingOutSuspended
, while a suspension is in effect, all scale-out activities that are triggered by a scaling policy are suspended. - ForScheduledScalingSuspended
, while a suspension is in effect, all scaling activities that involve scheduled actions are suspended.
Methods
- add_deletion_override(path)
Syntactic sugar for
addOverride(path, undefined)
.- Parameters:
path (
str
) – The path of the value to delete.- Return type:
None
- add_dependency(target)
Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.
This can be used for resources across stacks (or nested stack) boundaries and the dependency will automatically be transferred to the relevant scope.
- Parameters:
target (
CfnResource
) –- Return type:
None
- add_depends_on(target)
(deprecated) Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.
- Parameters:
target (
CfnResource
) –- Deprecated:
use addDependency
- Stability:
deprecated
- Return type:
None
- add_metadata(key, value)
Add a value to the CloudFormation Resource Metadata.
- Parameters:
key (
str
) –value (
Any
) –
- See:
- Return type:
None
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html
Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.
- add_override(path, value)
Adds an override to the synthesized CloudFormation resource.
To add a property override, either use
addPropertyOverride
or prefixpath
with “Properties.” (i.e.Properties.TopicName
).If the override is nested, separate each nested level using a dot (.) in the path parameter. If there is an array as part of the nesting, specify the index in the path.
To include a literal
.
in the property name, prefix with a\
. In most programming languages you will need to write this as"\\."
because the\
itself will need to be escaped.For example:
cfn_resource.add_override("Properties.GlobalSecondaryIndexes.0.Projection.NonKeyAttributes", ["myattribute"]) cfn_resource.add_override("Properties.GlobalSecondaryIndexes.1.ProjectionType", "INCLUDE")
would add the overrides Example:
"Properties": { "GlobalSecondaryIndexes": [ { "Projection": { "NonKeyAttributes": [ "myattribute" ] ... } ... }, { "ProjectionType": "INCLUDE" ... }, ] ... }
The
value
argument toaddOverride
will not be processed or translated in any way. Pass raw JSON values in here with the correct capitalization for CloudFormation. If you pass CDK classes or structs, they will be rendered with lowercased key names, and CloudFormation will reject the template.- Parameters:
path (
str
) –The path of the property, you can use dot notation to override values in complex types. Any intermediate keys will be created as needed.
value (
Any
) –The value. Could be primitive or complex.
- Return type:
None
- add_property_deletion_override(property_path)
Adds an override that deletes the value of a property from the resource definition.
- Parameters:
property_path (
str
) – The path to the property.- Return type:
None
- add_property_override(property_path, value)
Adds an override to a resource property.
Syntactic sugar for
addOverride("Properties.<...>", value)
.- Parameters:
property_path (
str
) – The path of the property.value (
Any
) – The value.
- Return type:
None
- apply_removal_policy(policy=None, *, apply_to_update_replace_policy=None, default=None)
Sets the deletion policy of the resource based on the removal policy specified.
The Removal Policy controls what happens to this resource when it stops being managed by CloudFormation, either because you’ve removed it from the CDK application or because you’ve made a change that requires the resource to be replaced.
The resource can be deleted (
RemovalPolicy.DESTROY
), or left in your AWS account for data recovery and cleanup later (RemovalPolicy.RETAIN
). In some cases, a snapshot can be taken of the resource prior to deletion (RemovalPolicy.SNAPSHOT
). A list of resources that support this policy can be found in the following link:- Parameters:
policy (
Optional
[RemovalPolicy
]) –apply_to_update_replace_policy (
Optional
[bool
]) – Apply the same deletion policy to the resource’s “UpdateReplacePolicy”. Default: truedefault (
Optional
[RemovalPolicy
]) – The default policy to apply in case the removal policy is not defined. Default: - Default value is resource specific. To determine the default value for a resource, please consult that specific resource’s documentation.
- See:
- Return type:
None
- get_att(attribute_name, type_hint=None)
Returns a token for an runtime attribute of this resource.
Ideally, use generated attribute accessors (e.g.
resource.arn
), but this can be used for future compatibility in case there is no generated attribute.- Parameters:
attribute_name (
str
) – The name of the attribute.type_hint (
Optional
[ResolutionTypeHint
]) –
- Return type:
- get_metadata(key)
Retrieve a value value from the CloudFormation Resource Metadata.
- Parameters:
key (
str
) –- See:
- Return type:
Any
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html
Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.
- inspect(inspector)
Examines the CloudFormation resource and discloses attributes.
- Parameters:
inspector (
TreeInspector
) – tree inspector to collect and process attributes.- Return type:
None
- obtain_dependencies()
Retrieves an array of resources this resource depends on.
This assembles dependencies on resources across stacks (including nested stacks) automatically.
- Return type:
List
[Union
[Stack
,CfnResource
]]
- obtain_resource_dependencies()
Get a shallow copy of dependencies between this resource and other resources in the same stack.
- Return type:
List
[CfnResource
]
- override_logical_id(new_logical_id)
Overrides the auto-generated logical ID with a specific ID.
- Parameters:
new_logical_id (
str
) – The new logical ID to use for this stack element.- Return type:
None
- remove_dependency(target)
Indicates that this resource no longer depends on another resource.
This can be used for resources across stacks (including nested stacks) and the dependency will automatically be removed from the relevant scope.
- Parameters:
target (
CfnResource
) –- Return type:
None
- replace_dependency(target, new_target)
Replaces one dependency with another.
- Parameters:
target (
CfnResource
) – The dependency to replace.new_target (
CfnResource
) – The new dependency to add.
- Return type:
None
- to_string()
Returns a string representation of this construct.
- Return type:
str
- Returns:
a string representation of this resource
Attributes
- CFN_RESOURCE_TYPE_NAME = 'AWS::ApplicationAutoScaling::ScalableTarget'
- attr_id
Id
- Type:
cloudformationAttribute
- cfn_options
Options for this resource, such as condition, update policy etc.
- cfn_resource_type
AWS resource type.
- creation_stack
return:
the stack trace of the point where this Resource was created from, sourced from the +metadata+ entry typed +aws:cdk:logicalId+, and with the bottom-most node +internal+ entries filtered.
- logical_id
The logical ID for this CloudFormation stack element.
The logical ID of the element is calculated from the path of the resource node in the construct tree.
To override this value, use
overrideLogicalId(newLogicalId)
.- Returns:
the logical ID as a stringified token. This value will only get resolved during synthesis.
- max_capacity
The maximum value that you plan to scale out to.
- min_capacity
The minimum value that you plan to scale in to.
- node
The tree node.
- ref
Return a string that will be resolved to a CloudFormation
{ Ref }
for this element.If, by any chance, the intrinsic reference of a resource is not a string, you could coerce it to an IResolvable through
Lazy.any({ produce: resource.ref })
.
- resource_id
The identifier of the resource associated with the scalable target.
- role_arn
Specify the Amazon Resource Name (ARN) of an Identity and Access Management (IAM) role that allows Application Auto Scaling to modify the scalable target on your behalf.
- scalable_dimension
The scalable dimension associated with the scalable target.
- scheduled_actions
The scheduled actions for the scalable target.
- service_namespace
The namespace of the AWS service that provides the resource, or a
custom-resource
.
- stack
The stack in which this element is defined.
CfnElements must be defined within a stack scope (directly or indirectly).
- suspended_state
An embedded object that contains attributes and attribute values that are used to suspend and resume automatic scaling.
Static Methods
- classmethod is_cfn_element(x)
Returns
true
if a construct is a stack element (i.e. part of the synthesized cloudformation template).Uses duck-typing instead of
instanceof
to allow stack elements from different versions of this library to be included in the same stack.- Parameters:
x (
Any
) –- Return type:
bool
- Returns:
The construct as a stack element or undefined if it is not a stack element.
- classmethod is_cfn_resource(x)
Check whether the given object is a CfnResource.
- Parameters:
x (
Any
) –- Return type:
bool
- classmethod is_construct(x)
Checks if
x
is a construct.Use this method instead of
instanceof
to properly detectConstruct
instances, even when the construct library is symlinked.Explanation: in JavaScript, multiple copies of the
constructs
library on disk are seen as independent, completely different libraries. As a consequence, the classConstruct
in each copy of theconstructs
library is seen as a different class, and an instance of one class will not test asinstanceof
the other class.npm install
will not create installations like this, but users may manually symlink construct libraries together or use a monorepo tool: in those cases, multiple copies of theconstructs
library can be accidentally installed, andinstanceof
will behave unpredictably. It is safest to avoid usinginstanceof
, and using this type-testing method instead.- Parameters:
x (
Any
) – Any object.- Return type:
bool
- Returns:
true if
x
is an object created from a class which extendsConstruct
.
ScalableTargetActionProperty
- class CfnScalableTarget.ScalableTargetActionProperty(*, max_capacity=None, min_capacity=None)
Bases:
object
ScalableTargetAction
specifies the minimum and maximum capacity for theScalableTargetAction
property of the AWS::ApplicationAutoScaling::ScalableTarget ScheduledAction property type.- Parameters:
max_capacity (
Union
[int
,float
,None
]) – The maximum capacity.min_capacity (
Union
[int
,float
,None
]) – The minimum capacity.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_applicationautoscaling as appscaling scalable_target_action_property = appscaling.CfnScalableTarget.ScalableTargetActionProperty( max_capacity=123, min_capacity=123 )
Attributes
- max_capacity
The maximum capacity.
ScheduledActionProperty
- class CfnScalableTarget.ScheduledActionProperty(*, schedule, scheduled_action_name, end_time=None, scalable_target_action=None, start_time=None, timezone=None)
Bases:
object
ScheduledAction
is a property of the AWS::ApplicationAutoScaling::ScalableTarget resource that specifies a scheduled action for a scalable target.For more information, see Scheduled scaling in the Application Auto Scaling User Guide .
- Parameters:
schedule (
str
) – The schedule for this action. The following formats are supported:. - At expressions - “at( *yyyy* - *mm* - *dd* T *hh* : *mm* : *ss* )
“ - Rate expressions - “rate( *value* *unit* )
“ - Cron expressions - “cron( *fields* )
“ At expressions are useful for one-time schedules. Cron expressions are useful for scheduled actions that run periodically at a specified date and time, and rate expressions are useful for scheduled actions that run at a regular interval. At and cron expressions use Universal Coordinated Time (UTC) by default. The cron format consists of six fields separated by white spaces: [Minutes] [Hours] [Day_of_Month] [Month] [Day_of_Week] [Year]. For rate expressions, value is a positive integer and unit isminute
|minutes
|hour
|hours
|day
|days
.scheduled_action_name (
str
) – The name of the scheduled action. This name must be unique among all other scheduled actions on the specified scalable target.end_time (
Union
[IResolvable
,datetime
,None
]) – The date and time that the action is scheduled to end, in UTC.scalable_target_action (
Union
[IResolvable
,ScalableTargetActionProperty
,Dict
[str
,Any
],None
]) – The new minimum and maximum capacity. You can set both values or just one. At the scheduled time, if the current capacity is below the minimum capacity, Application Auto Scaling scales out to the minimum capacity. If the current capacity is above the maximum capacity, Application Auto Scaling scales in to the maximum capacity.start_time (
Union
[IResolvable
,datetime
,None
]) – The date and time that the action is scheduled to begin, in UTC.timezone (
Optional
[str
]) – The time zone used when referring to the date and time of a scheduled action, when the scheduled action uses an at or cron expression.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_applicationautoscaling as appscaling scheduled_action_property = appscaling.CfnScalableTarget.ScheduledActionProperty( schedule="schedule", scheduled_action_name="scheduledActionName", # the properties below are optional end_time=Date(), scalable_target_action=appscaling.CfnScalableTarget.ScalableTargetActionProperty( max_capacity=123, min_capacity=123 ), start_time=Date(), timezone="timezone" )
Attributes
- end_time
The date and time that the action is scheduled to end, in UTC.
- scalable_target_action
The new minimum and maximum capacity.
You can set both values or just one. At the scheduled time, if the current capacity is below the minimum capacity, Application Auto Scaling scales out to the minimum capacity. If the current capacity is above the maximum capacity, Application Auto Scaling scales in to the maximum capacity.
- schedule
.
At expressions - “
at( *yyyy* - *mm* - *dd* T *hh* : *mm* : *ss* )
“Rate expressions - “
rate( *value* *unit* )
“Cron expressions - “
cron( *fields* )
“
At expressions are useful for one-time schedules. Cron expressions are useful for scheduled actions that run periodically at a specified date and time, and rate expressions are useful for scheduled actions that run at a regular interval.
At and cron expressions use Universal Coordinated Time (UTC) by default.
The cron format consists of six fields separated by white spaces: [Minutes] [Hours] [Day_of_Month] [Month] [Day_of_Week] [Year].
For rate expressions, value is a positive integer and unit is
minute
|minutes
|hour
|hours
|day
|days
.- See:
- Type:
The schedule for this action. The following formats are supported
- scheduled_action_name
The name of the scheduled action.
This name must be unique among all other scheduled actions on the specified scalable target.
- start_time
The date and time that the action is scheduled to begin, in UTC.
- timezone
The time zone used when referring to the date and time of a scheduled action, when the scheduled action uses an at or cron expression.
SuspendedStateProperty
- class CfnScalableTarget.SuspendedStateProperty(*, dynamic_scaling_in_suspended=None, dynamic_scaling_out_suspended=None, scheduled_scaling_suspended=None)
Bases:
object
SuspendedState
is a property of the AWS::ApplicationAutoScaling::ScalableTarget resource that specifies whether the scaling activities for a scalable target are in a suspended state.For more information, see Suspending and resuming scaling in the Application Auto Scaling User Guide .
- Parameters:
dynamic_scaling_in_suspended (
Union
[bool
,IResolvable
,None
]) – Whether scale in by a target tracking scaling policy or a step scaling policy is suspended. Set the value totrue
if you don’t want Application Auto Scaling to remove capacity when a scaling policy is triggered. The default isfalse
.dynamic_scaling_out_suspended (
Union
[bool
,IResolvable
,None
]) – Whether scale out by a target tracking scaling policy or a step scaling policy is suspended. Set the value totrue
if you don’t want Application Auto Scaling to add capacity when a scaling policy is triggered. The default isfalse
.scheduled_scaling_suspended (
Union
[bool
,IResolvable
,None
]) – Whether scheduled scaling is suspended. Set the value totrue
if you don’t want Application Auto Scaling to add or remove capacity by initiating scheduled actions. The default isfalse
.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_applicationautoscaling as appscaling suspended_state_property = appscaling.CfnScalableTarget.SuspendedStateProperty( dynamic_scaling_in_suspended=False, dynamic_scaling_out_suspended=False, scheduled_scaling_suspended=False )
Attributes
- dynamic_scaling_in_suspended
Whether scale in by a target tracking scaling policy or a step scaling policy is suspended.
Set the value to
true
if you don’t want Application Auto Scaling to remove capacity when a scaling policy is triggered. The default isfalse
.
- dynamic_scaling_out_suspended
Whether scale out by a target tracking scaling policy or a step scaling policy is suspended.
Set the value to
true
if you don’t want Application Auto Scaling to add capacity when a scaling policy is triggered. The default isfalse
.
- scheduled_scaling_suspended
Whether scheduled scaling is suspended.
Set the value to
true
if you don’t want Application Auto Scaling to add or remove capacity by initiating scheduled actions. The default isfalse
.